Perhaps the most common reason given for joining the microsharing site Twitter is "participating in the conversation" or some version of that. I myself am guilty of using this explanation. But is Twitter truly a conversational platform? Here I argue that the underlying mechanics of Twitter more closely resemble the knowledge co-creation seen in wikis than the dynamics seen with conversational tools like instant messaging and interactions within online social networks.
This wiki collects information about tools and resources that can help scholars (particularly in the humanities and social sciences) conduct research more efficiently or creatively. Whether you need software to help you manage citations, author a multimedia work, or analyze texts, Digital Research Tools will help you find what you're looking for. We provide a directory of tools organized by research activity, as well as reviews of select tools in which we not only describe the tool's features, but also explore how it might be employed most effectively by researchers.
The nLab is a collaborative wiki which has grown out of the desire (I, II) of an on-line community communicating via the weblog The n-Category Café of people interested in discussion of expository and research nature about mathematics, physics and philosophy in the light of category theory and higher category theory (the "n" in "nLab") to have a place for development (the "Lab" in "nLab") and indexed archivation of the ideas and concepts that were, are and will be subject of or that developed out of the discussion at the weblog.
The Network Workbench Community Wiki is the part of Network Workbench (NWB) project. It provides descriptions for algorithms and datasets that have been integrated in the NWB Tool. It is also a place for users of the NWB Tool, the Cyberinfrastructure Shell, or any other CIShell based program to get, upload, and request algorithms & datasets to be used in the tool. This site is a sounding board to be used by the community to work together and create a tool which will meet their needs and the needs of the scientific community at large.
The aims of clinical and translational research are to achieve a better understanding of the pathogenesis of human disease in order to develop effective diagnostic, therapeutic and prevention strategies. Biomedical informatics can play an important role in supporting this research by facilitating the management, integration, analysis and exchange of data derived from and related to the research problems being studied. A key aspect of this support is to bring clarity, rigor and formalism to the representation of
1. disease initiation, progression, pathogenesis, signs, symptoms, assessments, clinical and laboratory findings, disease diagnosis, treatment, treatment response and outcome, and
2. the interrelations between these distinct entities both in patient management and in clinical research,
thus allowing the data to be more readily retrievable and shareable, and more able to serve in the support of algorithmic reasoning.
"The Institute of the Future will soon be launching what it calls the first massively multiplayer forecast game, billed as The Superstruct Game. According to the game's FAQ, the idea is to 'imagine how we might solve the problems we'll face.' Interestingly, the game itself is meant to be played 'on forums, blogs, videos, wikis, and other familiar online spaces.' From the IFTF website's sneak peak, the game is set in the year 2019, where the Global Extinction Awareness System (GEAS) has forecast the possibility of human extinction by the year 2042 as the result of five simultaneous 'super-threats:' Quarantine, which is a result from 'declining health and pandemic disease;' Ravenous, which relates to the global collapse of the world food system; Power Struggle, related to the flux of power 'as nations fight for energy supremacy and the world searches for alternative energy solutions;' Outlaw Planet, covering increased surveillance and loss of liberties; and, lastly, Generation Exile, which covers the massive increase in refugees."
Welcome to the biology portal. Biology, from the Greek words bios (life) and the suffix -ology, meaning study of, is a branch of science. It is concerned with the characteristics and behaviors of organisms, how species and individuals come into existence, and the interactions they have with each other and with their environment. Biology encompasses a broad spectrum of academic fields that are often viewed as independent disciplines. Together, they study life over a wide range of scales.
RPI's Tetherless World Constellation will address this emerging area of "Web Science," focusing on the World Wide Web and it's future use. Faculty in the constellation will explore the research and engineering principles that underlie the Web, will enhance the Web's reach beyond the desktop and laptop computer, and will develop new technologies and languages that expand the capabilities of the Web. We will use powerful scientific and mathematical techniques from many disciplines to explore the modeling of the Web from network- and information- centric views. Our goals will include making the next generation web natural to use while being responsive to the growing variety of policy and social needs, whether in the area of privacy, intellectual property, general compliance, or provenance. The Tetherless World Constellation will design new techniques to explore social, scientific, and legal impacts of the evolving technologies deployed on the Web.
zembly is a new kind of application development environment that lends the power of the crowd to you, so you can do more, faster. It's kind of like a wiki, but for applications.
For the past few months I've been an active member of Twine.com; a beta semantic web app riddled with AI to help us organize, share and discover information. The beta is still under heavy construction, but at this point in time, I've migrated entirely from Del.icio.us, personal wikis and similar online services and over to Twine.
OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWIG for text documents.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
Appropedia is the site for collaborative solutions in sustainability, poverty reduction and international development. Appropedia helps us sustain our world.
VoCamp is a series (hopefully) of informal events where people can spend some dedicated time creating lightweight vocabularies/ontologies for the Semantic Web/Web of Data. The emphasis of the event(s) is not on creating the perfect ontology in a particular domain, but on creating vocabs that are good enough for people to start using for publishing data on the Web. The intention is to follow a "paper first, laptops second" format, where the modelling is done initially on paper and only later committed to code. The VoCamp idea is heavily influenced by BarCamp, although the VoCamp should only have presentations where strictly necessary.
KHarvester (Informal Knowledge Harvester) is a SOA layer which collects RDF data from web pages. It provides REST based Web Services for managing data available on Social Semantic Information Sources (SSIS): semantic blogs, semantic wikis, and JeromeDL (the Social Semantic Digital Library). These Web Services allow saving harvested data in the informal knowledge repository, and providing them in a form of informal Learning Objects (LOs) that are described accroding to LOM (Learning Object Metadata) standard.
Also, IKHarvester is an extension to Didaskon system.
Didaskon (διδάσκω - gr. teach) delivers a framework for composing an on-demand curriculum from existing Learning Objects provided by e-Learning services (formal learning). Moreover, the system derives from SSIS which provide informal knowledge. Then, the selection and work-flow scheduling of Learning Objects is based on the semantically annotated specification of the user's current skills/knowledge (pre-conditions), anticipated resulting skills/knowledge (goal) and technical details of the clients platform.
Research funding decisions and research evaluation are currently almost exclusively based on peer-review. Peer-review is well suited to ensure quality, but helps little to achieve impact. ParticipatoryResearch adds the stakeholder dimension to research funding and evaluation. In an ideal world those research projects should get funded which will ultimately benefit its stakeholders most. Individuals (such as peer reviewers) can often hardly realistically access the potential benefit of a certain research proposal. Better results can be achieved by relying on the intelligence of a whole community by employing prediction markets (being the best general institutions we know for aggregating information). In such a prediction market for research ideas stakeholders bet or vote about which research results will benefit them most. The highest-ranked research ideas according to the stakeholder benefit should ultimately get funded.
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